多目标决策树与模糊 TOPSIS:在难民安置规划中的应用

IF 1.9 Q3 MANAGEMENT
Buket Cilali, Claudio M. Rocco, Kash Barker
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引用次数: 0

摘要

本研究结合使用了多目标决策树(MODT)和模糊 TOPSIS 方法,以应对不确定条件下具有多个相互冲突目标的连续决策。为此,MODT 为相互竞争的目标生成帕累托最优解决方案前沿,而模糊 TOPSIS 则通过考虑结果中可能存在的不确定性以及潜在的语言表达,帮助评估非劣质解决方案并为目标分配权重。考虑到全球变暖的挑战和不确定背景下的系统相互依存关系,我们用一个有关气候驱动的难民安置的时间决策问题来说明所提出的方法。使用两种不同的程序对模糊 TOPSIS 方法进行了说明,基于向量归一化的程序以图形方式描述了最终排序的模糊三角形表示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-objective decision trees with fuzzy TOPSIS: Application to refugee resettlement planning

This study combines the use of multi-objective decision trees (MODT) and a fuzzy TOPSIS approach to cope with sequential decision-making under uncertainty with multiple conflicting objectives. To this aim, the MODT generates a Pareto-optimal frontier of solutions for competing objectives, while fuzzy TOPSIS helps assess the noninferior solutions and assign weights to the objectives by considering possible uncertainties in outcomes as well as potential linguistic expression. The proposed approach is illustrated with a temporal decision problem concerning climate-driven refugee resettlement, taking into consideration the challenges of global warming and system interdependencies in an uncertain context. The fuzzy TOPSIS approach was illustrated using two different procedures, and the procedure based on vector normalisation graphically depicts the fuzzy triangular representation of the final ranking.

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来源期刊
CiteScore
4.70
自引率
10.00%
发文量
14
期刊介绍: The Journal of Multi-Criteria Decision Analysis was launched in 1992, and from the outset has aimed to be the repository of choice for papers covering all aspects of MCDA/MCDM. The journal provides an international forum for the presentation and discussion of all aspects of research, application and evaluation of multi-criteria decision analysis, and publishes material from a variety of disciplines and all schools of thought. Papers addressing mathematical, theoretical, and behavioural aspects are welcome, as are case studies, applications and evaluation of techniques and methodologies.
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